Title :
Median filters with adaptive length
Author :
Lin, Ho-ming ; Willson, Alan N., Jr.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fDate :
6/1/1988 12:00:00 AM
Abstract :
Two algorithms using adaptive-length median filters are proposed for improving impulse-noise-removal performance for image processing. The algorithms can achieve significantly better image quality than regular (fixed-length) median filters when the images are corrupted by impulse noise. One of the algorithms, when realized in hardware, requires rather simple additional circuitry. Both algorithms can easily be integrated into efficient hardware realizations for median filters. The performance of the proposed filters is compared with regular median filters, generalized mean filters, and nonlinear mean filters. The hardware complexities of the filters are also compared
Keywords :
digital filters; filtering and prediction theory; interference suppression; noise; picture processing; adaptive length; digital filters; hardware complexities; image processing; impulse-noise-removal performance; median filters; Adaptive filters; Circuit noise; Hardware; Image edge detection; Image processing; Image quality; Logic; Pixel; Power engineering and energy; Very large scale integration;
Journal_Title :
Circuits and Systems, IEEE Transactions on